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Tutorials: Notebooks 📔

We propose here several tutorials to discover the different functionalities that the library has to offer.

We decided to host those tutorials on Google Colab mainly because you will be able to play the notebooks with a GPU which should greatly improve your User eXperience.

Here is the lists of the availables tutorial for now:

Getting Started

Tutorial Name Notebook
Getting Started Open In Colab
Sanity checks for Saliency Maps Open In Colab
Tabular data and Regression Open In Colab
Object detection Open In Colab
Semantic Segmentation Open In Colab
Metrics Open In Colab
Concept Activation Vectors Open In Colab
Feature Visualization Open In Colab

Attributions

Category Tutorial Name Notebook
BlackBox KernelShap Open In Colab
BlackBox Lime Open In Colab
BlackBox Occlusion Open In Colab
BlackBox Rise Open In Colab
WhiteBox DeconvNet Open In Colab
WhiteBox GradCAM Open In Colab
WhiteBox GradCAM++ Open In Colab
WhiteBox GradientInput Open In Colab
WhiteBox GuidedBackpropagation Open In Colab
WhiteBox IntegratedGradients Open In Colab
WhiteBox Saliency Open In Colab
WhiteBox SmoothGrad Open In Colab
WhiteBox SquareGrad Open In Colab
WhiteBox VarGrad Open In Colab
Tabular Data Regression Tabular Data Open In Colab

Metrics

Category Tutorial Name Notebook
Fidelity MuFidelity Open In Colab
Fidelity Insertion Open In Colab
Fidelity Deletion Open In Colab
Stability AverageStability (WIP)

PyTorch Wrapper

Tutorial Name Notebook
PyTorch models: Getting started Open In Colab
Metrics: With PyTorch models Open In Colab
Object detection on PyTorch model Open In Colab
Semantic Segmentation on PyTorch model Open In Colab

Concepts extraction

WIP

Features Visualizations

WIP